Recommending items to group of users using Matrix Factorization based Collaborative Filtering.
Fernando OrtegaAntonio HernandoJesús BobadillaJeon-Hyung KangPublished in: Inf. Sci. (2016)
Keyphrases
- collaborative filtering
- matrix factorization
- recommender systems
- data sparsity
- low rank
- cold start problem
- item recommendation
- user profiles
- factorization methods
- user ratings
- recommendation quality
- recommendation systems
- implicit feedback
- content based filtering
- factor analysis
- probabilistic matrix factorization
- user preferences
- nonnegative matrix factorization
- negative matrix factorization
- user interests
- stochastic gradient descent
- information overload
- variational bayesian
- personalized recommendation
- cold start
- recommendation algorithms
- tensor factorization
- latent factor models
- user feedback
- linear combination
- social networks